Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Irrigation Management and Soils as Controls on Deep Percolation and Nitrate Leaching in Agricultural Systems: Thesis Data and Code
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 14.3 KB | |
| Created: | Jul 23, 2025 at 7:37 p.m. (UTC) | |
| Last updated: | Jul 28, 2025 at 1:10 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 69 |
| Downloads: | 0 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This resource provides data and code supporting the thesis “Irrigation Management and Soils as Controls on Deep Percolation and Nitrate Leaching in Agricultural Systems”. All data were collected from irrigated fields of cooperating producers between 2023 and 2025, and all code uses R statistical software. The ‘Chp 2: Methods Assessment’ section contains data and analysis focused on understanding soil water sensor and suction lysimeter behavior. Performance of two soil water sensors (HOBO Decagon 10HS, METER T12) were compared. Lysimeter sampling success, sample size, and volume of influence were assessed, and comparisons between soil water nitrate collected by lysimeters and converted from bulk soil nitrate were compared. ‘Chp 3: Percolation Metric’ contains code for calculating a volumetric water content response metric normalized to net water inputs for single irrigation events. Compiled metric scores across soil types are provided as well. ‘Chp 4: Fairfield Data and Time Variable Dual Permeability Modeling’ contains field data from soil water sensors, suction lysimeters, and soil samples collected in Fairfield during 2023 and 2024. It also contains R code that interfaces with Hydrus 1D to solve inverse model solutions for dual permeability model parameters, then running many executions of time-variable forward models to estimate deep percolation and nitrate leaching. ‘Chp 5: Gallatin Data and Single Porosity Models’ contains all field data from soil water sensors, suction lysimeters, and soil samples collected in the Gallatin during 2023 and 2024. It also contains code for running Hydrus 1D single porosity models calibrated to field site data.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Montana Fertilizer Advisory Committee | ||
| Montana State University College of Agriculture |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment